Analytics Engineer

Gravitas Group; Greater London; Hybrid; GBP 101,000 - 120,000; Full time

Job summary

Gravitas Group in London is seeking an Analytics Engineer for a 4-month engagement with hybrid working arrangements. The contract focuses on building modern data pipelines and scalable analytics capabilities.

You will design layered dbt models for BigQuery, optimise SQL, and develop LookML dashboards to empower self-service reporting while documenting processes for a smooth transition.

Qualifications

• Expert-level SQL and Google BigQuery.
• Hands-on dbt modelling, testing and documentation.
• Looker/LookML development experience.
• Strong data modelling and analytics engineering expertise.
• Experience translating requirements into scalable data solutions.

Responsibilities

• Design, build, test and document layered dbt models for new BigQuery data sources.
• Create and optimise complex BigQuery SQL models for performance and scalability.
• Build LookML models, Explores and dashboards to support business reporting and self-service analytics.
• Audit and optimise existing dbt models to improve reliability, performance and long-term sustainability.
• Identify opportunities to automate manual reporting processes through robust data pipelines.
• Deliver comprehensive documentation and support a smooth handover at the end of the engagement.

Skills

SQL

Google BigQuery

dbt modelling

Looker/LookML

Stakeholder engagement

Job description

Analytics Engineer (Outside IR35) sought by leading financial services organisation based in the city of London

Contract: 4 Months

Location: Hybrid London

Day Rate: £550 - £650 per day

Role & Responsibilities

• Design, build, test and document layered dbt models for new BigQuery data sources.
• Create and optimise complex BigQuery SQL models, ensuring performance, scalability and maintainability.
• Build and enhance LookML models, Explores and dashboards to support business reporting and self-service analytics.
• Audit and optimise existing dbt models to improve reliability, performance and long-term sustainability.
• Identify opportunities to automate manual reporting processes through robust data pipelines.
• Deliver comprehensive documentation and support a smooth handover at the end of the engagement.

Required Experience

• Expert-level SQL and Google BigQuery.
• Strong hands-on experience with dbt modelling, testing and documentation.
• Proven Looker/LookML development experience.
• Strong data modelling and analytics engineering expertise.
• Experience engaging with business stakeholders and translating requirements into scalable data solutions.
• Ability to operate independently in a fast-paced environment.